Results 101 to 110 of about 2,756 (146)

Efficient nonparametric inference for discretely observed compound Poisson processes

Probability theory and related fields, 2017
A compound Poisson process whose parameters are all unknown is observed at finitely many equispaced times. Nonparametric estimators of the jump and Lévy distributions are proposed and functional central limit theorems using the uniform norm are proved ...
Alberto J. Coca
semanticscholar   +2 more sources

Statistical inference for nonparametric censored regression

Stat, 2020
Nonparametric regression is of primary importance in many statistical applications. For the data with censored outcomes, how to construct a confidence band for a regression function is a basic issue but has limited research.
Guangcai Mao, Jing Zhang
semanticscholar   +1 more source

Application of nonparametric approach to extreme value inference in distribution estimation of sample maximum and its properties

Australian & New Zealand Journal of Statistics
Extreme value theory has constructed asymptotic properties of the sample maximum. This article concerns probability distribution estimation of the sample maximum. The traditional approach is parametric fitting to the limiting distribution—the generalised
T. Moriyama
semanticscholar   +1 more source

Nonparametric Estimation and Inference of Production Risk

, 2020
This paper proposes a nonparametric approach for estimation of stochastic production functions with categorical variables, and then develops procedures that allow for inference on production risk.
Zheng Li, R. Rejesus, Xiaoyong Zheng
semanticscholar   +1 more source

Nonparametric Inference for the Covariate‐Adjusted Youden Index and Associated Cut‐Off Points for Three Ordinal Diagnostic Groups

Pharmaceutical statistics
In this paper, we propose point estimators and confidence intervals for the Youden index and optimal cut‐off points in the context of three ordinal diagnostic groups, accounting for the presence of covariates.
Asieh Maghami-Mehr, H. Torabi, H. Nadeb, Yichuan Zhao   +3 more
semanticscholar   +1 more source

Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness

arXiv.org
This study proposes a debiasing method for smooth nonparametric estimators. While machine learning techniques such as random forests and neural networks have demonstrated strong predictive performance, their theoretical properties remain relatively ...
Masahiro Kato
semanticscholar   +1 more source

Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination

arXiv.org
Long-term causal inference has drawn increasing attention in many scientific domains. Existing methods mainly focus on estimating average long-term causal effects by combining long-term observational data and short-term experimental data.
Weilin Chen, Ruichu Cai, Junjie Wan, Zeqin Yang, Jos'e Miguel Hern'andez-Lobato   +4 more
semanticscholar   +1 more source

Nonparametric inference in the accelerated failure time model using restricted means

Lifetime Data Analysis, 2022
M. Giurcanu, T. Karrison
semanticscholar   +1 more source